Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. - Ajay Mandlekar; Yuke Zhu; Animesh Garg; Li Fei-Fei 001; Silvio Savarese (IROS, 2017)

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. - Anirudha Majumdar; Sumeet Singh; Ajay Mandlekar; Marco Pavone 001 (Robotics: Science and Systems, 2017)

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. - Ajay Mandlekar; Yuke Zhu; Animesh Garg; Jonathan Booher; Max Spero; Albert Tung; Julian Gao; John Emmons; Anchit Gupta; Emre Orbay; Silvio Savarese; Li Fei-Fei 001 (CoRL, 2018)

AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. - Andrey Kurenkov; Ajay Mandlekar; Roberto Martin Martin; Silvio Savarese; Animesh Garg (CoRL, 2019)

Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. - Ajay Mandlekar; Jonathan Booher; Max Spero; Albert Tung; Anchit Gupta; Yuke Zhu; Animesh Garg; Silvio Savarese; Li Fei-Fei 001 (IROS, 2019)

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. - Ajay Mandlekar; Fabio Ramos 001; Byron Boots; Li Fei-Fei 001; Animesh Garg; Dieter Fox (CoRR, 2019)

Controlling Assistive Robots with Learned Latent Actions. - Dylan P. Losey; Krishnan Srinivasan; Ajay Mandlekar; Animesh Garg; Dorsa Sadigh (ICRA, 2020)

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. - Ajay Mandlekar; Fabio Ramos 001; Byron Boots; Silvio Savarese; Li Fei-Fei 001; Animesh Garg; Dieter Fox (ICRA, 2020)

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations. - Ajay Mandlekar; Danfei Xu; Roberto Martín-Martín; Silvio Savarese; Li Fei-Fei 001 (Robotics: Science and Systems, 2020)

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations. - Ajay Mandlekar; Danfei Xu; Roberto Martín-Martín; Silvio Savarese; Li Fei-Fei 001 (CoRR, 2020)

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning. - Yuke Zhu; Josiah Wong; Ajay Mandlekar; Roberto Martín-Martín (CoRR, 2020)

Human-in-the-Loop Imitation Learning using Remote Teleoperation. - Ajay Mandlekar; Danfei Xu; Roberto Martín-Martín; Yuke Zhu; Li Fei-Fei 001; Silvio Savarese (CoRR, 2020)

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. - Ajay Mandlekar; Danfei Xu; Josiah Wong; Soroush Nasiriany; Chen Wang 053; Rohun Kulkarni; Li Fei-Fei 001; Silvio Savarese; Yuke Zhu; Roberto Martín-Martín (CoRL, 2021)

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics. - Samarth Sinha; Ajay Mandlekar; Animesh Garg (CoRL, 2021)

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. - Josiah Wong; Albert Tung; Andrey Kurenkov; Ajay Mandlekar; Li Fei-Fei 001; Silvio Savarese; Roberto Martín-Martín (CoRL, 2021)

Learning Multi-Arm Manipulation Through Collaborative Teleoperation. - Albert Tung; Josiah Wong; Ajay Mandlekar; Roberto Martín-Martín; Yuke Zhu; Li Fei-Fei 001; Silvio Savarese (ICRA, 2021)

Deep Affordance Foresight: Planning Through What Can Be Done in the Future. - Danfei Xu; Ajay Mandlekar; Roberto Martín-Martín; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (ICRA, 2021)

Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. - Chen Wang 053; Rui Wang; Ajay Mandlekar; Li Fei-Fei 001; Silvio Savarese; Danfei Xu (IROS, 2021)

Learning and Retrieval from Prior Data for Skill-based Imitation Learning. - Soroush Nasiriany; Tian Gao; Ajay Mandlekar; Yuke Zhu (CoRL, 2022)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. - Linxi Fan; Guanzhi Wang; Yunfan Jiang 001; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (NeurIPS, 2022)

MoCoDA: Model-based Counterfactual Data Augmentation. - Silviu Pitis; Elliot Creager; Ajay Mandlekar; Animesh Garg (NeurIPS, 2022)

Learning latent actions to control assistive robots. - Dylan P. Losey; Hong Jun Jeon; Mengxi Li; Krishnan Srinivasan; Ajay Mandlekar; Animesh Garg; Jeannette Bohg; Dorsa Sadigh (Auton. Robots, 2022)

Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. - Kuan Fang; Toki Migimatsu; Ajay Mandlekar; Li Fei-Fei 001; Jeannette Bohg (CoRR, 2022)

Imitating Task and Motion Planning with Visuomotor Transformers. - Murtaza Dalal; Ajay Mandlekar; Caelan Reed Garrett; Ankur Handa; Ruslan Salakhutdinov; Dieter Fox (CoRL, 2023)

Human-in-the-Loop Task and Motion Planning for Imitation Learning. - Ajay Mandlekar; Caelan Reed Garrett; Danfei Xu; Dieter Fox (CoRL, 2023)

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations. - Ajay Mandlekar; Soroush Nasiriany; Bowen Wen; Iretiayo Akinola; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Dieter Fox (CoRL, 2023)

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. - Kuan Fang; Toki Migimatsu; Ajay Mandlekar; Li Fei-Fei 001; Jeannette Bohg (IROS, 2023)

ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. - Mayank Mittal; Calvin Yu; Qinxi Yu; Jingzhou Liu; Nikita Rudin; David Hoeller; Jia Lin Yuan; Pooria Poorsarvi Tehrani; Ritvik Singh; Yunrong Guo; Hammad Mazhar; Ajay Mandlekar; et al. (CoRR, 2023)

NOD-TAMP: Multi-Step Manipulation Planning with Neural Object Descriptors. - Shuo Cheng; Caelan Reed Garrett; Ajay Mandlekar; Danfei Xu (CoRR, 2023)

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. - Mayank Mittal; Calvin Yu; Qinxi Yu; Jingzhou Liu; Nikita Rudin; David Hoeller; Jia Lin Yuan; Ritvik Singh; Yunrong Guo; Hammad Mazhar; Ajay Mandlekar; Buck Babich; et al. (IEEE Robotics Autom. Lett., 2023)

NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors. - Shuo Cheng; Caelan Reed Garrett; Ajay Mandlekar; Danfei Xu (CoRL, 2024)

SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment. - Caelan Reed Garrett; Ajay Mandlekar; Bowen Wen; Dieter Fox (CoRL, 2024)

SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation. - Zihan Zhou; Animesh Garg; Dieter Fox; Caelan Reed Garrett; Ajay Mandlekar (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning. - Ryan Hoque; Ajay Mandlekar; Caelan Reed Garrett; Ken Goldberg; Dieter Fox (IROS, 2024)

Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following. - Motoya Ohnishi; Iretiayo Akinola; Jie Xu 028; Ajay Mandlekar; Fabio Ramos 001 (L4DC, 2024)

RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots. - Soroush Nasiriany; Abhiram Maddukuri; Lance Zhang; Adeet Parikh; Aaron Lo; Abhishek Joshi; Ajay Mandlekar; Yuke Zhu (Robotics: Science and Systems, 2024)

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots. - Soroush Nasiriany; Abhiram Maddukuri; Lance Zhang; Adeet Parikh; Aaron Lo; Abhishek Joshi; Ajay Mandlekar; Yuke Zhu (CoRR, 2024)

Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations. - Julen Urain; Ajay Mandlekar; Yilun Du; Mahi Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2024)

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. - Zhendong Wang; Zhaoshuo Li; Ajay Mandlekar; Zhenjia Xu; Jiaojiao Fan; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Yogesh Balaji; Mingyuan Zhou; Ming-Yu Liu 001; Yu Zeng 001 (CoRR, 2024)

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning. - Zhenyu Jiang 002; Yuqi Xie; Kevin Lin; Zhenjia Xu; Weikang Wan; Ajay Mandlekar; Linxi Fan; Yuke Zhu (CoRR, 2024)

Voyager: An Open-Ended Embodied Agent with Large Language Models. - Guanzhi Wang; Yuqi Xie; Yunfan Jiang 001; Ajay Mandlekar; Chaowei Xiao; Yuke Zhu; Linxi Fan; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation. - Jiafei Duan; Wilbert Pumacay; Nishanth Kumar; Yi Ru Wang; Shulin Tian; Wentao Yuan; Ranjay Krishna; Dieter Fox; Ajay Mandlekar; Yijie Guo (ICLR, 2025)

What Matters in Learning from Large-Scale Datasets for Robot Manipulation. - Vaibhav Saxena; Matthew Bronars; Nadun Ranawaka Arachchige; Kuancheng Wang; Woo-Chul Shin; Soroush Nasiriany; Ajay Mandlekar; Danfei Xu (ICLR, 2025)

Latent Action Pretraining from Videos. - Seonghyeon Ye; Joel Jang; Byeongguk Jeon; Se June Joo; Jianwei Yang; Baolin Peng; Ajay Mandlekar; Reuben Tan; Yu-Wei Chao; Bill Yuchen Lin; Lars Liden; Kimin Lee; et al. (ICLR, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang 002; et al. (CoRR, 2025)

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation. - Abhiram Maddukuri; Zhenyu Jiang 002; Lawrence Yunliang Chen; Soroush Nasiriany; Yuqi Xie; Yu Fang; Wenqi Huang 005; Zu Wang; Zhenjia Xu; Nikita Chernyadev; Scott Reed; Ken Goldberg; et al. (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. - Joel Jang; Seonghyeon Ye; Zongyu Lin; Jiannan Xiang; Johan Bjorck; Yu Fang; Fengyuan Hu; Spencer Huang; Kaushil Kundalia; Yen-Chen Lin; Loic Magne; Ajay Mandlekar; et al. (CoRR, 2025)

DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation. - Zhao Mandi; Yifan Hou; Dieter Fox; Yashraj S. Narang; Ajay Mandlekar; Shuran Song (CoRR, 2025)